Hello All, I have a more statistical question, and how this is implemented in R.
The problem is the following: We have 2 different solutions (samples), which are filtered and then the concentration of the filtrate is measured. We want to evaluate how the filter proces and the concentration measurement influences the detection of the difference of the two solutions and which step has which influence. So we filter the 2 solutions each 6 times and get 12 filterd solutions. each of this filtrate is measured 8 times, so we get 12 *8 96 conc. values. i get a data table of: solution nr.filter nr.measures conc. 1 or 2 1 till 6 1-till 8 96 values because the concentrations are "repeated measurements" as i was told by a statistician (i am not) it is not allowed to make a anova with the formula: conc~solution+nr.filter+nr.measures. my question is: how can i solve this in R? thanks Nicolaas Busscher -- Dr.Nicolaas Busscher Universit�t GH Kassel Nordbahnhofstrasse: 1a, D-37213 Witzenhausen Phone: 0049-(0)5542-98-1715, Fax: 0049-(0)5542-98-1713 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
